The chemical database and information management system, offering researchers and scientists rapid access to searchable toxicological information.
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Developed by Lhasa scientists, Vitic is a chemical database and information management system containing expert curated, high-quality, peer-reviewed toxicity data from both published and unpublished sources. Vitic provides more than 526,000* toxicity data records for over 21,800* structures and is updated annually with the latest data.
With such extensive coverage of chemical space and toxicological data, Vitic is well placed to provide the data needed to support submissions to regulators or, more specifically, the expert review required under ICH M7. Vitic can also assist with assessment of the skin sensitisation of compounds without the need for animal testing.
Lhasa’s “honest broker” and trusted partner status, established as a result of its not-for-profit position, ensures that Vitic is the preferred system for data sharing consortia1.
As well as curated data, the flexibility of the Vitic schema with customisable querying across multiple database instances, makes it easy to store and retrieve data, enabling searching across multiple datasets to generate relevant results.
*Vitic 2020.1 database
Introductionto Vitic
Vitic is used in many different industries in a variety of workflows, including for ICH M7 submissions, skin sensitisation assessment, and REACH2 chemical safety assessments.
Agrochemical Pharmaceutical
Personal Products Chemicals Regulator
Biopharmaceutical Generics Tobacco
Who is using what in Vitic?
Genetic Toxicity In Vitro
Development Toxicity / Teratogenicity / Toxicity to Fertility
Genetic Toxicity In Vivo
Repeated Dose Toxicity
Carcinogenicity
Overall Call
Skin Sensitisation and Skin Irritation
Acute Oral Toxicity
Other
National Toxicity Program
74k
US Food and Drug Administration
24k
Japan Existing Chemical Database
8k
Japan Chemical Industry
Ecology-Toxicology and Information
Center
8k
Scientific Committee on
Consumer Products
5k
California Environmental
Protection Agency
2k
Literature
96k
Circles are not to scale but are representative of contribution. Number of records are given to the nearest thousand.
AI/PDE
A database for harmonised Acceptable Intake (AI)/Permitted Daily Exposure (PDE) data.
Elemental Impurities
A database to share analytical data on the levels of trace metals within batches of excipients.
Excipients
A database for the sharing of excipient vehicle toxicity data.
Production Intermediates
A database for sharing Ames mutagenicity results of production intermediates.
Aromatic Amines
A database to improve the understanding and predictability of primary aromatic amines.
Committed to Collaboration
With a philosophy that shared knowledge leads to shared progress, Lhasa facilitates collaborative projects with industry, academia and regulatory bodies for the benefit of its members, the wider scientific community and the public.
Vitic is the core component of many of Lhasa’s collaborative projects, acting as the repository for shared data. With a reputation as the original “honest broker”, Lhasa is ideally suited to play a key role in these data sharing consortia.
Vitic and data sharing
Features and benefits
Access to Proprietary Data
With more than 35 years of successful experience
in knowledge and data sharing, continued
development of Vitic provides the opportunity
to access high-quality and expertly-curated
proprietary data to further enhance your decision
making and reduce the duplication of effort1.
Summary Calls
Published data for compounds is often
inconclusive, unspecified or conflicted.
Expert Lhasa scientists have developed
a framework to make a Lhasa toxicity*
summary call for compounds, assisting
in the derivation of conclusions for
structures with complex or uncertain
data. This has been applied to over
16,700 structures in Vitic 2020.1.
*Ames, Chromosome Aberration in vitro,
LLNA, Micronucleus in vitro and Mouse
Lymphoma Assay.
Fast Performance
Due to advancements in available
technology, Vitic has been redeveloped
to provide a faster, more efficient
searching experience. Results are
delivered quickly and, as the query
is built, instantaneous updates of the
structure and record counts are provided.
Meeting Regulatory Requirements
The ICH M7 guideline stipulates that hazard
assessment should involve initial analysis of actual
and potential impurities by conducting database
and literature searches across carcinogenicity
and material mutagenicity data. Vitic is the leading
source for information of this type.
Expert ICH M7 Support
Rapidly find relevant supporting
examples for your impurities by structure,
substructure or similarity searching
thereby adding weight to expert review3.
Vitic enables identification of class 1, 2
and 5 impurities directly, and provides
relevant examples to assist in dealing
with class 3 and 4 impurities.
Streamlined Workflow
Using the Vitic link functionality within the Nexus platform
allows immediate access to real data to support toxicity
predictions made by Derek or Sarah Nexus, or to provide
toxicity data for metabolites and degradants predicted by
Meteor Nexus and Zeneth respectively.
Rapid Access to your Data
Intuitive data entry tools are provided,
enabling you to store your in-house
data and access it when needed in your
workflow.
Features and benefits
Lhasa, a Trusted Data Source
All Vitic data is curated and added by
expert Lhasa scientists and then thoroughly
peer reviewed.
Skin Sensitisation Assessment
With increasing pressure to reduce and
refine the number of animal tests when
assessing the skin sensitisation potential
of chemicals4, extensive coverage of skin
sensitisation data in Vitic supports read-
across as a means of reducing the need
for such tests.
Current Toxicological Data
Regular updates by Lhasa’s dedicated,
expert data team ensures access to the
latest toxicity data. The curation process
provides direct access to relevant and
usefully structured information,
whilst still providing the reference to the
original source.
One Search, Multiple Datasets
Searches can be carried out across
multiple datasets to ensure all relevant
results are returned within one interactive
interface. This saves time by eradicating
the need to duplicate searches.
Intuitive Searching
Complex queries are easy to build and modify using drag
and drop functionality, with the ability to nest parameters.
It is possible to query at the folder level or select all
databases for querying in one action. This allows for the
retrieval of specific information, aiding decision support
and improving productivity.
When asked why people choose to work with Lhasa Limited, the common responses are:
Transparency of Lhasa systems allows trust and confidence in the science presented.
Over 35 years of experience in developing state-of-the-art in silico prediction and database systems.
All science is developed in-house, providing the opportunity to discuss directly with Lhasa expert scientists.
Software is easy to use and well supported.2
3
4
1
Why choose Lhasa?
shared knowledge shared progress
References1. Elder et al. (2015) ‘Mutagenic Impurities:
Precompetitive/Competitive Collaborative and Data Sharing Initiatives’, Organic Process Research & Development, vol.19, no. 11, May, pp. 1486-1494.
http://dx.doi.org/10.1021/acs.oprd.5b00128
2. http://www.hse.gov.uk/reach/
3. Barber et al. (2015) ‘Establishing best practice in the application of expert review of mutagenicity under ICH M7’, Regulatory Toxicology and Pharmacology, vol. 73, no. 1, pp. 367-377.
http://dx.doi.org/10.1016/j.yrtph.2015.07.018
4. Macmillan et al. (2016) ‘Predicting skin sensitisation using a decision tree integrated testing strategy with an in silico model and in chemico/in vitro assays’, Regulatory Toxicology and Pharmacology, vol. 76, April, pp. 30-38.
http://dx.doi.org/10.1016/j.yrtph.2016.01.009
Our Products
What other software do we produce?
For more information, please contact [email protected] Reference 5/20
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